A Novel Online Product Recommendation System Based on Face Recognition and Emotion Detection

被引:0
作者
Pauly, Leo [1 ]
Sankar, Deepa [1 ]
机构
[1] Cochin Univ Sci & Technol, Sch Engn, Div Elect Engn, Cochin 682022, Kerala, India
来源
2015 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICCICCT) | 2015年
关键词
User interaction; Computer vision; product recommendation; face detection; face recognition; gender identification; emotion detection;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a novel method for online product recommendation using facial image recognition and emotional feedback for online users. The system detects the faces of the users from the live camera stream along with gender identification and product recommendation algorithms for targeting products to the right user. It also uses an emotion detection technique for getting a feedback about the recommended product. The developed system improves user interaction and can be used in online shopping websites and other places where efficient product recommendation methods are required. It also helps to market products more effectively in a user friendly manner.
引用
收藏
页码:329 / 334
页数:6
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